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Highly loaded projects. theory of parallel computing. supercomputers. distributed systems

All lectures: All lectures on the discipline: highly loaded projects. theory of parallel computing. supercomputers. distributed systems are collected here. These fascinating lectures provide us with the opportunity to explore the deep principles and phenomena underlying our knowledge and our desire to understand the world.


1. Comparison of delay times at different levels of architecture. Optimization
2. All about social networks. Human impact
3. All about social networks. Development prospects
4. All about social networks. Technology
5. All about social networks. Monetization
6. List of limits and restrictions Vkontakte
7. Benchmark performance test. Server performance measurement options
8. Profiling
9. Architecture von Neumann, anti-machine
10. network website optimization DNS time, Connect time, TTFB, TTLB
11. parallel system architecture classes: distributed memory (MPP) and shared memory (SMP)
12. Shared memory systems using OpenMP as an example
13. Distributed memory systems using the example of MPI
14. Parallel computing tasks
15. Organization of multiprocessor systems (matrix switch, common bus, system with omega network)
16. Topological links of the modules of computing systems for parallel calculations
17. The advantages and disadvantages of computers with shared and distributed memory. NUMA
18. Parallel programming languages
19. Massively parallel architecture
20. The main classes of modern parallel computers Massively parallel systems (MPP)
21. The main classes of modern parallel computers Symmetric multiprocessing SMP
22. The main classes of modern parallel computers Symmetric multiprocessing SMP
23. The main classes of modern parallel computers Systems with non-uniform memory access (NUMA)
24. The main classes of modern parallel computers Parallel Vector Systems (PVP)
25. The main classes of modern parallel computers Cluster systems
26. Features of the appointment of judicial computer technical expertise
27. Brain matryoshka
28. Transcomputational task
29. Data center center (storage and) data processing (data center-TsHOD)
30. Actor model
31. Methods of optimization programs. Latency numbers every programmer should know
32. Caching and memcached
33. How do we create artificial intelligence?
34. What makes Competitive Parallel Multi-threaded Asynchronous Programming Different?
35. Decentralized applications DAPP